Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Motion Segmentation for Time-Varying Mesh Sequences Based on Spherical Registration | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 346425 9 pages doi 2009 346425 Research Article Motion Segmentation for Time-Varying Mesh Sequences Based on Spherical Registration Toshihiko Yamasaki and Kiyoharu Aizawa Department of Information and Communication Engineering Graduate School of Information Science and Technology The University of Tokyo Engineering Building no. 2 7-3-1 Hongo Bunkyo-ku Tokyo 113 8656 Japan Correspondence should be addressed to Toshihiko Yamasaki yamasaki@ Received 30 September 2007 Accepted 7 March 2008 Recommended by Thomas Sikora A highly accurate motion segmentation technique for time-varying mesh TVM is presented. In conventional approaches motion of the objects was analyzed using shape feature vectors extracted from TVM frames. This was because it was very difficult to locate and track feature points in the objects in the 3D space due to the fact that the number of vertices and connection varies each frame. In this study we developed an algorithm to analyze the objects motion in the 3D space using the spherical registration based on the iterative closest-point algorithm. Rough motion tracking is conducted and the degree of motion is robustly calculated by this method. Although the approach is straightforward much better motion segmentation results than the conventional approaches are obtained by yielding such high precision and recall rates as 95 and 92 on average. Copyright 2009 T. Yamasaki and K. Aizawa. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. Introduction Three-dimensional 3D geometric modeling of human appearance and motion based on computer vision techniques . using only multiple cameras 1-7 is getting much more attention as ultimate interactive multimedia. Although 3D .
